Detection and segmentation of fmcw radar signals based on the chirplet transform

Abstract : In this paper we present a algorithm designed to detect and characterise the signal coming from Frequency Modulation Continuous Wave radars. The signals are made of linear frequency modulations. A few relevant coefficients of the chirplet transform are selected, and then gathered into chirps whose starting time, length, and chirprate are estimated. An example is provided on a synthetic signal.
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Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, May 2011, Praha, Czech Republic. pp.1765 -1768, 2011, 〈10.1109/ICASSP.2011.5946844〉
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https://hal.inria.fr/hal-00704374
Contributeur : Jules Espiau de Lamaestre <>
Soumis le : mardi 5 juin 2012 - 12:05:38
Dernière modification le : mardi 14 novembre 2017 - 09:00:01

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F. Millioz, Mike Davies. Detection and segmentation of fmcw radar signals based on the chirplet transform. Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, May 2011, Praha, Czech Republic. pp.1765 -1768, 2011, 〈10.1109/ICASSP.2011.5946844〉. 〈hal-00704374〉

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